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Deep Learning AMI (Amazon Linux)

Deep Learning AMI (Amazon Linux)

By: Amazon Web Services Latest Version: 24.2

Product Overview

AWS Deep Learning AMI are built and optimized for building, training, debugging, and serving deep learning models in EC2 with popular frameworks such as TensorFlow, MXNet, PyTorch, Chainer, Keras, and more. Deep learning frameworks are installed in Conda environments to provide a reliable and isolated environment for practitioners. The AWS Deep Learning AMI is provided at no additional charge to Amazon EC2 users. Deep Learning frameworks are pre-configured with latest versions of NVIDIA CUDA, cuDNN and Intel acceleration libraries such as MKL-DNN and iDeep for high performance across Amazon EC2 instances such as P3 and C5. The AMI also includes Docker and Nvidia-Docker.

Deep Learning frameworks (with CUDA 8.0, 9.0, 9.2, 10.0 and cuDNN, NCCL):
Apache MXNet 1.4.1 with Gluon
TensorFlow 1.14.1 + Horovod
Caffe2 0.8.1
PyTorch 1.1
Chainer 6.1.0
CNTK 2.7
Theano 1.0.4
Keras 2.2.4
Caffe 1.0 with CUDA 8 and cuDNN 6

AWS Deep Learning AMI also comes with model debugging and hosting capabilities:
MXNet Model Server 1.0
TensorFlow Serving 1.14
TensorBoard 1.14
GPU Drivers: NVIDIA Driver 418.87
Get started with running your deep learning code in minutes:
For a fully managed experience, use Amazon SageMaker :



Operating System

Linux/Unix, Amazon Linux 2018.03

Delivery Methods

  • Amazon Machine Image

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